Reviews
30 June 2020

Comparative Effectiveness of Glucose-Lowering Drugs for Type 2 Diabetes: A Systematic Review and Network Meta-analysis

Publication: Annals of Internal Medicine
Volume 173, Number 4

Abstract

Background:

Several pharmacologic options for type 2 diabetes are available.

Purpose:

To compare benefits and harms of glucose-lowering drugs in adults with type 2 diabetes.

Data Sources:

Several databases from inception through 18 December 2019 and ClinicalTrials.gov on 10 April 2020.

Study Selection:

English-language randomized trials that had at least 24 weeks of intervention and assessed the effects of glucose-lowering drugs on mortality, glycemic, and vascular outcomes.

Data Extraction:

Pairs of reviewers extracted data and appraised risk of bias.

Data Synthesis:

453 trials assessing 21 antidiabetic interventions from 9 drug classes were included. Interventions included monotherapies (134 trials), add-on to metformin-based therapies (296 trials), and monotherapies versus add-on to metformin therapies (23 trials). There were no differences between treatments in drug-naive patients at low cardiovascular risk. Insulin regimens and specific glucagon-like peptide-1 receptor agonists (GLP-1 RAs) added to metformin-based background therapy produced the greatest reductions in hemoglobin A1c level. In patients at low cardiovascular risk receiving metformin-based background treatment (298 trials), there were no clinically meaningful differences between treatments for mortality and vascular outcomes. In patients at increased cardiovascular risk receiving metformin-based background treatment (21 trials), oral semaglutide, empagliflozin, liraglutide, extended-release exenatide, and dapagliflozin reduced all-cause mortality. Oral semaglutide, empagliflozin, and liraglutide also reduced cardiovascular death. Odds of stroke were lower with subcutaneous semaglutide and dulaglutide. Sodium–glucose cotransporter-2 (SGLT-2) inhibitors reduced heart failure hospitalization and end-stage renal disease. Subcutaneous semaglutide and canagliflozin increased diabetic retinopathy and amputation, respectively.

Limitation:

Inconsistent definitions of cardiovascular risk and low-level confidence in some estimates for patients at low cardiovascular risk.

Conclusion:

In diabetic patients at low cardiovascular risk, no treatment differs from placebo for vascular outcomes. In patients at increased cardiovascular risk receiving metformin-based background therapy, specific GLP-1 RAs and SGLT-2 inhibitors have a favorable effect on certain cardiovascular outcomes.

Primary Funding Source:

European Foundation for the Study of Diabetes, supported by an unrestricted educational grant from AstraZeneca. (PROSPERO: CRD42019122043)

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Supplemental Material

Supplement. Supplementary Material

References

1.
American Diabetes Association. 9. Pharmacologic approaches to glycemic treatment: Standards of Medical Care in Diabetes—2020. Diabetes Care. 2020;43:S98-S110. [PMID: 31862752]  doi: 10.2337/dc20-S009
2.
Cosentino FGrant PJAboyans Vet alESC Scientific Document Group. 2019 ESC guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD. Eur Heart J. 2020;41:255-323. [PMID: 31497854]  doi: 10.1093/eurheartj/ehz486
3.
Buse JBWexler DJTsapas Aet al. 2019 update to: management of hyperglycemia in type 2 diabetes, 2018. A consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care. 2020;43:487-493. [PMID: 31857443]  doi: 10.2337/dci19-0066
4.
Kristensen SLRørth RJhund PSet al. Cardiovascular, mortality, and kidney outcomes with GLP-1 receptor agonists in patients with type 2 diabetes: a systematic review and meta-analysis of cardiovascular outcome trials. Lancet Diabetes Endocrinol. 2019;7:776-785. [PMID: 31422062]  doi: 10.1016/S2213-8587(19)30249-9
5.
Zelniker TAWiviott SDRaz Iet al. SGLT2 inhibitors for primary and secondary prevention of cardiovascular and renal outcomes in type 2 diabetes: a systematic review and meta-analysis of cardiovascular outcome trials. Lancet. 2019;393:31-39. [PMID: 30424892]  doi: 10.1016/S0140-6736(18)32590-X
6.
Neuen BLYoung THeerspink HJLet al. SGLT2 inhibitors for the prevention of kidney failure in patients with type 2 diabetes: a systematic review and meta-analysis. Lancet Diabetes Endocrinol. 2019;7:845-854. [PMID: 31495651]  doi: 10.1016/S2213-8587(19)30256-6
7.
Zelniker TAWiviott SDRaz Iet al. Comparison of the effects of glucagon-like peptide receptor agonists and sodium-glucose cotransporter 2 inhibitors for prevention of major adverse cardiovascular and renal outcomes in type 2 diabetes mellitus. Circulation. 2019;139:2022-2031. [PMID: 30786725]  doi: 10.1161/CIRCULATIONAHA.118.038868
8.
Higgins JPWelton NJ. Network meta-analysis: a norm for comparative effectiveness? Lancet. 2015;386:628-30. [PMID: 26334141]  doi: 10.1016/S0140-6736(15)61478-7
9.
Hutton BSalanti GCaldwell DMet al. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Ann Intern Med. 2015;162:777-84. [PMID: 26030634].  doi: 10.7326/M14-2385
10.
Cefalu WTKaul SGerstein HCet al. Cardiovascular outcomes trials in type 2 diabetes: where do we go from here? Reflections from a Diabetes Care editors' expert forum. Diabetes Care. 2018;41:14-31. [PMID: 29263194]  doi: 10.2337/dci17-0057
11.
Sterne JACSavovic JPage MJet al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 2019;366:l4898. [PMID: 31462531]  doi: 10.1136/bmj.l4898
12.
Karagiannis TAvgerinos IToumpalidou Met al. Patients' and clinicians' preferences on outcomes and medication attributes for type 2 diabetes: a mixed-methods study. J Gen Intern Med. 2020. [PMID: 31898143]  doi: 10.1007/s11606-019-05608-0
13.
Cipriani AHiggins JPGeddes JRet al. Conceptual and technical challenges in network meta-analysis. Ann Intern Med. 2013;159:130-7. [PMID: 23856683].  doi: 10.7326/0003-4819-159-2-201307160-00008
14.
Rücker G. Network meta-analysis, electrical networks and graph theory. Res Synth Methods. 2012;3:312-24. [PMID: 26053424]  doi: 10.1002/jrsm.1058
15.
Rücker GSchwarzer G. Reduce dimension or reduce weights? Comparing two approaches to multi-arm studies in network meta-analysis. Stat Med. 2014;33:4353-69. [PMID: 24942211]  doi: 10.1002/sim.6236
16.
Brignardello-Petersen RMurad MHWalter SDet alGRADE Working Group. GRADE approach to rate the certainty from a network meta-analysis: avoiding spurious judgments of imprecision in sparse networks. J Clin Epidemiol. 2019;105:60-67. [PMID: 30253217]  doi: 10.1016/j.jclinepi.2018.08.022
17.
Rhodes KMTurner RMHiggins JP. Predictive distributions were developed for the extent of heterogeneity in meta-analyses of continuous outcome data. J Clin Epidemiol. 2015;68:52-60. [PMID: 25304503]  doi: 10.1016/j.jclinepi.2014.08.012
18.
Turner RMDavey JClarke MJet al. Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews. Int J Epidemiol. 2012;41:818-27. [PMID: 22461129]  doi: 10.1093/ije/dys041
19.
Dias SWelton NJCaldwell DMet al. Checking consistency in mixed treatment comparison meta-analysis. Stat Med. 2010;29:932-44. [PMID: 20213715]  doi: 10.1002/sim.3767
20.
Higgins JPJackson DBarrett JKet al. Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies. Res Synth Methods. 2012;3:98-110. [PMID: 26062084]  doi: 10.1002/jrsm.1044
21.
Chaimani ASalanti G. Using network meta-analysis to evaluate the existence of small-study effects in a network of interventions. Res Synth Methods. 2012;3:161-76. [PMID: 26062088]  doi: 10.1002/jrsm.57
22.
Sharp SJThompson SGAltman DG. The relation between treatment benefit and underlying risk in meta-analysis. BMJ. 1996;313:735-8. [PMID: 8819447]
23.
Schwarzer G. Meta: an R package for meta-analysis. R news. 2007;7:40-5.
24.
Rücker G, Krahn U, König J, et al. Netmeta: network meta-analysis using frequentist methods. R package version 1.1-0. 2019. Accessed at https://cran.R-project.Org/package=netmeta on 20 April 2020.
25.
Nikolakopoulou AHiggins JPTPapakonstantinou Tet al. CINeMA: an approach for assessing confidence in the results of a network meta-analysis. PLoS Med. 2020;17:e1003082. [PMID: 32243458]  doi: 10.1371/journal.pmed.1003082
26.
CINeMA: Confidence In Network Meta-Analysis. Institute of Social and Preventive Medicine, University of Bern; 2017. Accessed at cinema.Ispm.Unibe.Ch on 20 April 2020.
27.
Jia YLao YZhu Het al. Is metformin still the most efficacious first-line oral hypoglycaemic drug in treating type 2 diabetes? A network meta-analysis of randomized controlled trials. Obes Rev. 2019;20:1-12. [PMID: 30230172]  doi: 10.1111/obr.12753
28.
Hussein HZaccardi FKhunti Ket al. Efficacy and tolerability of sodium-glucose co-transporter-2 inhibitors and glucagon-like peptide-1 receptor agonists: a systematic review and network meta-analysis. Diabetes Obes Metab. 2020. [PMID: 32077218]  doi: 10.1111/dom.14008
29.
Fei YTsoi MFCheung BMY. Cardiovascular outcomes in trials of new antidiabetic drug classes: a network meta-analysis. Cardiovasc Diabetol. 2019;18:112. [PMID: 31462224]  doi: 10.1186/s12933-019-0916-z
30.
Gerstein HCColhoun HMDagenais GRet alREWIND Investigators. Dulaglutide and cardiovascular outcomes in type 2 diabetes (REWIND): a double-blind, randomised placebo-controlled trial. Lancet. 2019;394:121-130. [PMID: 31189511]  doi: 10.1016/S0140-6736(19)31149-3
31.
Husain MBirkenfeld ALDonsmark Met alPIONEER 6 Investigators. Oral semaglutide and cardiovascular outcomes in patients with type 2 diabetes. N Engl J Med. 2019;381:841-851. [PMID: 31185157]  doi: 10.1056/NEJMoa1901118
32.
McMurray JJVSolomon SDInzucchi SEet alDAPA-HF Trial Committees and Investigators. Dapagliflozin in patients with heart failure and reduced ejection fraction. N Engl J Med. 2019;381:1995-2008. [PMID: 31535829]  doi: 10.1056/NEJMoa1911303
33.
Rosenstock JPerkovic VJohansen OEet alCARMELINA Investigators. Effect of linagliptin vs placebo on major cardiovascular events in adults with type 2 diabetes and high cardiovascular and renal risk: the CARMELINA randomized clinical trial. JAMA. 2019;321:69-79. [PMID: 30418475]  doi: 10.1001/jama.2018.18269
34.
Tang HLi GZhao Yet al. Comparisons of diabetic retinopathy events associated with glucose-lowering drugs in patients with type 2 diabetes mellitus: a network meta-analysis. Diabetes Obes Metab. 2018;20:1262-1279. [PMID: 29369494]  doi: 10.1111/dom.13232
35.
Palmer SCMavridis DNicolucci Aet al. Comparison of clinical outcomes and adverse events associated with glucose-lowering drugs in patients with type 2 diabetes: a meta-analysis. JAMA. 2016;316:313-24. [PMID: 27434443]  doi: 10.1001/jama.2016.9400
36.
Zheng SLRoddick AJAghar-Jaffar Ret al. Association between use of sodium-glucose cotransporter 2 inhibitors, glucagon-like peptide 1 agonists, and dipeptidyl peptidase 4 inhibitors with all-cause mortality in patients with type 2 diabetes: a systematic review and meta-analysis. JAMA. 2018;319:1580-1591. [PMID: 29677303]  doi: 10.1001/jama.2018.3024
37.
Zhu JYu XZheng Yet al. Association of glucose-lowering medications with cardiovascular outcomes: an umbrella review and evidence map. Lancet Diabetes Endocrinol. 2020;8:192-205. [PMID: 32006518]  doi: 10.1016/S2213-8587(19)30422-X

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Udaya M Kabadi MD, FACP, FRCP,, FACE 14 September 2020
Cardiovascular Outcomes in Type 2 Diabetes

It is interesting reading  ‘Comparative Effectiveness of Glucose-Lowering Drugs for Type 2 Diabetes: (1). I concur with  authors that comparisons for glycemic efficacy, safety and other outcomes are best demonstrated on administration in drug naive subjects. Comparative glycemic efficacy may be even better validated by expressing % decline rather than a point fall unless baseline HbA1c levels for individual agents are not significantly different and daily doses of agents are equivalent. Unfortunately, most comparative trials between newer and established drugs e.g. Metformin and Sulfonylureas have been conducted with maximum recommended daily doses of newer drugs with minimal to half the maximum daily doses of  older drugs (1, 2). These trials therefore are less than valid and unreliable. This observation is true for glycemic efficacy, safety as well as cardiovascular outcomes.

 Cardiovascular benefits noted in trials with newer drugs e.g. SGLT2 inhibitors, GLP 1 analogs may be attributed to improvement in glycemic control as documented in UKPDS since % decline in cardiovascular outcomes for 1 point fall in HbA1c was identical to that observed in UKPDS. e.g.  Decline of 20% in overall mortality and 14-16 % in myocardial infarctions (1, 3, 4). Fall in cardiovascular events with lowering of HbA1c is consistent with data showing increased  adverse cardiovascular outcomes with rising HbA1c  irrespective of the presence of diabetes. A recent report (5) documented  18 % increased occurrence of myocardial infarction for 1 point HbA1c rise over 6.5 %, almost identical to UKPDS (2). Moreover, none of these trials have examined ‘Legacy effect’ documented in UKPDS (1, 3, 4). Alternatively, some of these trials may have exaggerated the benefits (4). Finally, the validity and reliability of results from these trials sponsored and funded by pharmaceuticals should not be acceptable to regulating agencies e.g. FDA or practicing providers unless confirmed by independent entities similar to UKPDS (3).

Improvement in heart failure by SGLT2 Inhibitors can be attributed to glycosuria functioning as an osmotic diuretic (1, 4).  Thus it is likely that persistent hyperglycemia with resultant glycosuria inducing osmotic diuresis may prevent heart failure. However, glycosuria with its consequences, e.g.  genitourinary  bacterial and mycotic infections, Fournier’s gangrene, osteoporosis, ketoacidosis as well as several other serious and lethal side effects along with prohibitive costs of SGLT2 inhibitors (2) render them distinctly far less favorable when compared with older more effective, less expensive validated diuretics with proven long term record over several years.

References:

  1. Apostolos Tsapas, Ioannis Avgerinos, Thomas Karagiannis, et al. Comparative Effectiveness of Glucose-Lowering Drugs for Type 2 Diabetes. A Systematic Review and Network Meta-analysis. Annals Internal Med. doe: 10.1177/1479164115570301. Pub 2015 Mar 15.
  1. Kabadi UM. New Oral Diabetes Drugs are more effective than Older Agents: Real or a Fraud? Journal of Diabetes, Metabolic Disorders & Control (3), 3:1-4, 201
  1. Kabadi, UM. United Kingdom Prospective Diabetes Study: A Different Perspective. Endocrine Practice. 8(1):61, 2002.
  1. Kabadi UM. CARDIOVASCULAR OUTCOME TRIALS IN TYPE 2 DIABETES: RELIABLE OR BIASED! World Journal of Pharmaceutical and Medical Research, 3 (11): 33-35, 2017
  1. de Jong M, Woodward M, Peters SAE.

Diabetes Care. 2020, 44: 2050-2059

Diabetes, Glycated Hemoglobin, and the Risk of Myocardial Infarction in Women and Men: A Prospective Cohort Study of the UK Biobank.

2020 Aug 3.

 doi: 10.1111/dom.14157. Online ahead of print.

 

 

Tsapas A, Karagiannis T, Avgerinos I, Matthews DR, Bekiari E 6 October 2020
Cardiovascular benefits of glucose-lowering drugs for type 2 diabetes

We appreciate Dr Kabadi’s thoughts on the specifics of the research question of our systematic review and network meta-analysis (1), namely choice of clinically relevant subpopulations (drug naive patients), interventions (all approved doses of antidiabetic agents used in clinical practice) and outcomes (absolute rather than % change in HbA1c). These decisions were met a priori, to facilitate pragmatism and clinical relevance of our findings.

Even though it was beyond our scope to explore the association between intensive antihyperglycemic strategies and cardiovascular benefits, we do share concerns expressed regarding the complex relationship between glycemic control and cardiovascular endpoints. Notably, cardiovascular outcomes trials (CVOTs) were designed to assess only the pleiotropic effects of novel antidiabetic agents and eliminate the effect of glucose reduction on cardiovascular outcomes by aiming for glycemic equipoise, but mostly failed to achieve it. Hence, post-hoc analyses based on the findings of recent CVOTs suggest that the cardiovascular benefits of newer antidiabetic medications can be partly explained by a reduction of HbA1c, whereas follow-up reports of primary intensive glucose-lowering strategy trials have reached conflicting conclusions on this issue (2, 3, 4). On the other hand, it is unlikely that any favorable effects observed in CVOTs could be attributed to a legacy effect, given that, by definition, randomized controlled trials are designed to eliminate the effect of any known or unknown confounding factors, including past antidiabetic treatment.

It is true that the vast majority of clinical trials included in our review were funded by the pharmaceutical industry. We appreciate Dr Kabadi’s skepticism on this matter, underlining the need for enhanced involvement of academia in the design and conduct of clinical trials which could be facilitated by adopting a more pragmatic approach in future clinical research (5).

Finally, we assessed the effect of glucose-lowering medications, including SGLT2 inhibitors, on hospitalization for heart failure solely in patients with type 2 diabetes. As such, our study cannot reach any conclusions regarding the efficacy and safety of SGLT2 inhibitors as treatment options for heart failure. We agree that any clinical implications or policy decisions regarding the use of SGLT2 inhibitors in the treatment of patients with heart failure regardless of presence of type 2 diabetes should be based on a comprehensive evaluation of their overall efficacy and safety profile in combination with country-specific, methodologically robust cost-effectiveness studies.

References

  1. Tsapas A, Avgerinos I, Karagiannis T, et al. Comparative Effectiveness of Glucose-Lowering Drugs for Type 2 Diabetes. Ann Intern Med 2020;173:278–86.
  2. Holman RR, Paul SK, Bethel MA, et al. 10-Year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med 2008;359:1577–89.
  3. Reaven PD, Emanuele N V., Wiitala WL, et al. Intensive glucose control in patients with type 2 diabetes - 15-year follow-up. N Engl J Med 2019;380:2215–24.
  4. Fralick M, Colacci M, Odutayo A et al. Lowering of hemoglobin A1C and risk of cardiovascular outcomes and all-cause mortality, a meta-regression analysis. J Diabetes Complications. 2020 Nov;34(11):107704.
  5. Bhandari M, Busse JW, Jackowski D, et al. Association between industry funding and statistically significant pro-industry findings in medical and surgical randomized trials. CMAJ 2004;170(4):477-80.

Information & Authors

Information

Published In

cover image Annals of Internal Medicine
Annals of Internal Medicine
Volume 173Number 418 August 2020
Pages: 278 - 286

History

Published online: 30 June 2020
Published in issue: 18 August 2020

Keywords

Authors

Affiliations

Apostolos Tsapas, MD, MSc (Oxon), PhD
Clinical Research and Evidence-Based Medicine Unit and Diabetes Centre, Aristotle University of Thessaloniki, Thessaloniki, Greece, and Harris Manchester College, University of Oxford, Oxford, United Kingdom (A.T.)
Ioannis Avgerinos, MD, MSc https://orcid.org/0000-0003-2232-1342
Clinical Research and Evidence-Based Medicine Unit, Aristotle University of Thessaloniki, Thessaloniki, Greece (I.A., T.K., K.M., A.M., A.L.)
Thomas Karagiannis, MD, MSc, PhD https://orcid.org/0000-0001-5242-0574
Clinical Research and Evidence-Based Medicine Unit, Aristotle University of Thessaloniki, Thessaloniki, Greece (I.A., T.K., K.M., A.M., A.L.)
Konstantinos Malandris, MD, MSc
Clinical Research and Evidence-Based Medicine Unit, Aristotle University of Thessaloniki, Thessaloniki, Greece (I.A., T.K., K.M., A.M., A.L.)
Apostolos Manolopoulos, MD, MSc https://orcid.org/0000-0003-1055-0324
Clinical Research and Evidence-Based Medicine Unit, Aristotle University of Thessaloniki, Thessaloniki, Greece (I.A., T.K., K.M., A.M., A.L.)
Panagiotis Andreadis, MD, MSc
Clinical Research and Evidence-Based Medicine Unit, Aristotle University of Thessaloniki, Thessaloniki, Greece, and North West Anglia NHS Foundation Trust, Peterborough City Hospital, Peterborough, United Kingdom (P.A.)
Aris Liakos, MD, MSc, PhD https://orcid.org/0000-0003-3261-2979
Clinical Research and Evidence-Based Medicine Unit, Aristotle University of Thessaloniki, Thessaloniki, Greece (I.A., T.K., K.M., A.M., A.L.)
David R. Matthews, MD, DPhil https://orcid.org/0000-0001-6504-0036
Harris Manchester College, University of Oxford, and Oxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, Oxford, United Kingdom (D.R.M.)
Eleni Bekiari, MD, MSc, PhD
Clinical Research and Evidence-Based Medicine Unit and Diabetes Centre, Aristotle University of Thessaloniki, Thessaloniki, Greece (E.B.)
Disclaimer: The views expressed are those of the authors and not necessarily those of the European Foundation for the Study of Diabetes.
Acknowledgment: The authors thank Drs. Panagiota Kakotrichi, Chrysanthi Mantsiou, and Georgios Tousinas for helping with final preparation of figures and tables and Drs. Konstantinos Kitsios and Maria Rika for their clinical interpretation of the final manuscript.
Financial Support: By the European Foundation for the Study of Diabetes PAtient-Centred Treatment to support a holistic approach toward type 2 diabetes (PACT) Programme, supported by an unrestricted educational grant from AstraZeneca.
Reproducible Research Statement: Study protocol: Registered in PROSPERO (CRD42019122043). Differences between the protocol and the final review are available in the Supplement. Statistical code: See the Technical Appendix in the Supplement. Data set: Available on reasonable request from Dr. Tsapas (e-mail, [email protected]).
Corresponding Author: Apostolos Tsapas, MD, MSc (Oxon), PhD, Clinical Research and Evidence-Based Medicine Unit, Aristotle University of Thessaloniki, Konstantinoupoleos 49, 54642, Thessaloniki, Greece; e-mail, [email protected].
Current Author Addresses: Drs. Tsapas, Avgerinos, Karagiannis, Malandris, Manolopoulos, Andreadis, Liakos, and Bekiari: Clinical Research and Evidence-Based Medicine Unit, Aristotle University of Thessaloniki, Konstantinoupoleos 49, 54642, Thessaloniki, Greece.
Dr. Matthews: Harris Manchester College, Mansfield Road, Oxford OX1 3TD, United Kingdom.
Author Contributions: Conception and design: A. Tsapas, I. Avgerinos, T. Karagiannis, A. Liakos, E. Bekiari.
Analysis and interpretation of the data: A. Tsapas, I. Avgerinos, T. Karagiannis, A. Liakos.
Drafting of the article: A. Tsapas, I. Avgerinos, T. Karagiannis.
Critical revision of the article for important intellectual content: A. Tsapas, I. Avgerinos, T. Karagiannis, D.R. Matthews, E. Bekiari.
Final approval of the article: A. Tsapas, I. Avgerinos, T. Karagiannis, K. Malandris, A. Manolopoulos, P. Andreadis, A. Liakos, D.R. Matthews, E. Bekiari.
Provision of study materials or patients: A. Tsapas, E. Bekiari.
Statistical expertise: I. Avgerinos.
Obtaining of funding: A. Tsapas.
Administrative, technical, or logistic support: A. Tsapas, I. Avgerinos, T. Karagiannis, D.R. Matthews.
Collection and assembly of data: A. Tsapas, I. Avgerinos, T. Karagiannis, K. Malandris, A. Manolopoulos, P. Andreadis, E. Bekiari.
This article was published at Annals.org on 30 June 2020.
* Drs. Tsapas, Avgerinos, and Karagiannis contributed equally to this work.

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Apostolos Tsapas, Ioannis Avgerinos, Thomas Karagiannis, et al. Comparative Effectiveness of Glucose-Lowering Drugs for Type 2 Diabetes: A Systematic Review and Network Meta-analysis. Ann Intern Med.2020;173:278-286. [Epub 30 June 2020]. doi:10.7326/M20-0864

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